Diffusion Normalizing Flow

von Zhang, Qinsheng
Veröffentlicht in NeurIPS (35. : 2021 : Online) 35th Conference on Neural Information Processing Systems (NeurIPS 2021) ; Volume 20 of 36 (2022)

Fast and Asymptotic Steering to a Steady State for Networks Flows

von Chen, Yongxin
Veröffentlicht in GSI (5. : 2021 : Paris) Geometric science of information (2021)

SCALABLE COMPUTATIONS OF WASSERSTEIN BARYCENTER VIA INPUT CONVEX NEURAL NETWORKS

von FAN, JIAOJIAO
Veröffentlicht in International Conference on Machine Learning (38. : 2021 : Online) International Conference on Machine Learning (ICML 2021 ; Part 3 of 16 (2022)

PROVABLY GLOBAL CONVERGENCE OF ACTOR-CRITIC: A CASE FOR LINEAR QUADRATIC REGULATOR WITH ERGODIC COST

von Yang, Zhuoran
Veröffentlicht in NeurIPS (33. : 2019 : Vancouver, British Columbia) 32nd Conference on Neural Information Processing Systems (NeurIPS 2019) ; Volume 11 of 20 (2020)

Variational Wasserstein Gradient Flow

von Fan, Jiaojiao
Veröffentlicht in International Conference on Machine Learning (39. : 2022 : Baltimore, Md.; Online) International Conference on Machine Learning (ICML 2022) ; Part 8 of 33 (2023)

CAN TEMPORAL-DIFFERENCE AND Q-LEARNING LEARN REPRESENTATION? A MEAN-FIELD THEORY

von Zhang, Yufeng
Veröffentlicht in NeurIPS (34. : 2020 : Online) 34th Conference on Neural Information Processing Systems (NeurIPS 2020) ; Volume 24 of 27 (2021)

A Calibration Method of CBCT Geometric Parameters Based on the Visual Imaging Model

von Wan, Yanli
Veröffentlicht in International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (15. : 2019 : Kun Ming) Advances in natural computation, fuzzy systems and knowledge discovery ; Volume 2 (2020)